Software defect prediction based on enhanced metaheuristic feature selection optimization and a hybrid deep neural network

Kun Zhu; Shi Ying; Nana Zhang; Dandan Zhu

doi:10.1016/j.jss.2021.111026

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Software defect prediction based on enhanced metaheuristic feature selection optimization and a hybrid deep neural network

Kun Zhu Shi Ying Nana Zhang Dandan Zhu

Year: 2021 Journal: Journal of Systems and Software Vol: 180 Pages: 111026-111026 Publisher: Elsevier BV

DOI: 10.1016/j.jss.2021.111026

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Keywords:

Computer science Feature selection Artificial intelligence Leverage (statistics) Machine learning Convolutional neural network Metaheuristic Artificial neural network Simulated annealing Software Construct (python library) Deep learning Data mining

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Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Software Engineering Research

Physical Sciences → Computer Science → Information Systems

Software Reliability and Analysis Research

Physical Sciences → Computer Science → Software

Software defect prediction based on enhanced metaheuristic feature selection optimization and a hybrid deep neural network

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